Experiments of Opinion Analysis on the Corpora MPQA and NTCIR-6
Proceedings of the Sixth NTCIR Workshop Meeting on Evaluation of
Information Access Technologies: Information Retrieval, Question
Answering and Cross-Lingual Information Access, page 323-329. (May 2007)Abstract
This paper describes the algorithms and linguistic features used in
our participating system for the opinion analysis pilot task at NTCIR-6.
It presents and discusses the results of our system on the opinion
analysis task. It also presents our experiments of opinion analysis
on the two corpora MPQA and NTCIR-6, by using our learning based
system. Our system was base on the SVM learning. It achieved state
of the art results on the MPQA corpus for the two problems, opinionated
sentence recognition and opinion holder extraction. The results using
the NTCIR-6 English corpus for both training and testing are certainly
among the first ones. Our results on the opinionated sentence recognition
sub-task of the NTCIR-6 were encouraging. The results on the English
evaluation of the NTCIR-6 opinion analysis task were obtained from
the models learned from the MPQA corpus. The lower results on the
NTCIR-6 opinion holder extraction subtask, in comparison with those
using each corpus for both training and testing, may possibly show
that there exist substantial differences between the MPQA corpus
and the NTCIR-6 English corpus
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